Sleep Monitoring Device With Adaptive Sleep-Stage Comparison
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Solution Overview
Problem
Current techniques fail to precisely characterize sleep patterns and detect changes in sleep quality that may lead to a loss of independence, particularly in vulnerable individuals, lacking accuracy and practicality for home monitoring.
Innovation Solution
A method using user equipment to monitor sleep stages, compare current sleep signals with reference and recommended signals, and emit alerts based on sleep disturbance indicators, utilizing artificial intelligence to segment sleep cycles and adapt to individual sleep habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If polysomnography or respiratory polygraphy is used to monitor sleep, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent extracts only the essential physiological signals needed for sleep monitoring (heart rate, respiratory rate, movement) from the comprehensive polysomnography suite, eliminating unnecessary complex measurements while retaining sufficient accuracy for sleep stage detection and disturbance identification
Solution Approach 2:
The patent replaces complex mechanical and electronic sensor systems with simplified optical and motion detection technologies, using light-based sensors to detect physiological changes and movement patterns that indicate sleep stages and disturbances
2Measurement precision
If polysomnography or respiratory polygraphy is used to monitor sleep, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically performs sleep stage classification, disturbance detection, and report generation without requiring user intervention or interpretation, making complex sleep monitoring as easy as wearing a device and allowing the system to serve itself in analyzing the data
Solution Approach 2:
The patent uses simplified sensor copies that replicate the essential functions of complex medical-grade sensors, creating lightweight versions that capture sufficient physiological data for accurate sleep monitoring without the bulk and complexity of hospital equipment
3Reliability
If current sleep monitoring techniques are used, then basic sleep detection is achieved, but measurement precision of sleep patterns deteriorates
Solution Approach 1:
The patent segments sleep into distinct stages (light, deep, REM) based on physiological signal patterns, and further segments the monitoring into multiple parameters (heart rate variability, respiratory patterns, movement episodes), allowing precise characterization of sleep patterns through combined analysis of segmented data
Solution Approach 2:
The system dynamically adjusts monitoring sensitivity and analysis parameters based on detected sleep stages and individual user patterns, adapting the monitoring approach in real-time to capture relevant sleep pattern changes while maintaining high measurement precision across varying sleep conditions
Data Source
AI summary
A method for monitoring the sleep of a user using at least one user device located in proximity to the user and/or worn thereby, the at least one user device being connected to a communication network. This method includes: determining at least one curve representative of a time sequence of sleep stages during a current time period, referred to as a current sleep signal; obtaining an indicator of disturbance of the sleep of the user, this including a first comparison of the current sleep signal to a set of curves representative of time sequences of sleep stages determined for a reference time period, referred to as reference sleep signals; and making a decision as to whether to send an alert notification to the communication network, this decision being made depending on the indicator of disturbance of sleep and on at least one decision criterion.